2 papers
cs.CV2025
Patch-Level Kernel Alignment for Dense Self-Supervised Learning
Juan Yeo, Ijun Jang, Taesup Kim
Dense self-supervised learning (SSL) methods showed its effectiveness in enhancing the fine-grained semantic understandings of vision models. However, existing approaches often rel…
cs.CV2024
Hollowed Net for On-Device Personalization of Text-to-Image Diffusion Models
Wonguk Cho, Seokeon Choi, Debasmit Das +4
Recent advancements in text-to-image diffusion models have enabled the personalization of these models to generate custom images from textual prompts. This paper presents an effici…